Data classification prediction method based on adaptive tree species algorithm

The invention is suitable for the technical field of data optimization algorithms, and provides a data classification prediction method based on a self-adaptive tree species algorithm, which comprises the following steps: data acquisition: acquiring and processing historical data, and collecting and...

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Bibliographic Details
Main Authors CHEN TAIBO, YANG XI, DING KAIFANG, JIANG JIANHUA, YU ZIYIN
Format Patent
LanguageChinese
English
Published 27.10.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention is suitable for the technical field of data optimization algorithms, and provides a data classification prediction method based on a self-adaptive tree species algorithm, which comprises the following steps: data acquisition: acquiring and processing historical data, and collecting and processing data to be classified and predicted; model initialization: initializing an adaptive tree species algorithm, and initializing a neural network; fitness calculation: calculating the fitness value of each tree; evaluating potential: evaluating the potential level of each tree; seeds are generated in a self-adaptive mode, and migration of the tree with the lowest potential level is completed; evolution evaluation: calculating fitness values of the seeds to complete population evolution; feedback iteration: re-evaluating the potential level of the tree; and constructing a model and outputting a result. The method not only solves the problems that a tree species algorithm is easy to fall into local optimum, s
Bibliography:Application Number: CN202310960380